code: def testNotInvertible(self):
      # The input should be invertible.
      with self.assertRaisesOpError("Input matrix is not invertible."):
          # All rows of the matrix below add to zero
          matrix = constant_op.constant(
              [[1.0, 0.0, -1.0], [-1.0, 1.0, 0.0], [0.0, -1.0, 1.0]]
          )
          self.evaluate(linalg_ops.matrix_solve(matrix, matrix))
  
imports: import numpy
  from tensorflow.python.client import session
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import benchmark
  from tensorflow.python.platform import test
label_desc: Use image node_id 7 for calling the MatrixSolveOpTest obj's underlying member method code with example usage: obj.testNotInvertible() without return types